(Article of periodic en Anglais - 2013)

Document title

A remote sensing approach to biodiversity assessment and regionalization of the Canadian boreal forest

Authors(s) and Affiliation(s)

POWERS R.P. (1) ; COOPS N.C. (1) ; MORGAN J.L. (1) ; WULDER M.A. (2) ; NELSON T.A. (3) ; DREVER C.R. (4) ; CUMMING S.G. (5) ;
(1) Univ. of British Columbia, Vancouver, CANADA
(2) Canadian Forest Service, CANADA
(3) Univ. of Victoria, Victoria, CANADA
(4) The Nature Conservancy - Canada Program, CANADA
(5) Univ., Laval, CANADA


To identify relevant remotely derived environmental indicators specific to biodiversity within the Canadian boreal forest, the AA. assessed indicators of the physical environment such as seasonal snow cover, topography and vegetation production. Using cluster analysis, the AA. also assessed the applicability of these indicators for broad ecosystem classification of the Canadian boreal forest and the subsequent attribution of these stratified regions (i.e. clusters). The results reveal that the indicators used in the cluster creation provided unique information and explained much of the variance in tree (92.6%), bird (84.07%), butterfly (61.4%) and mammal (22.6%) species richness. Spring snow cover explained the most variance in species richness. The most important indicators for discriminating between the different cluster groups were seasonal greenness, a multipart measure of climate, topography and land use, and wetland cover


Article of periodic

published at : Progress in physical geography / ISSN 0309-1333 / CODEN PPGEEC

Editor : Sage Publications, London - ROYAUME-UNI (1977)

Millesime : 2013, vol. 37, no1 [pp. 36-62]

Bibliographic references : 5 p.

Collation : 3 fig., 9 tabl.



INIST-CNRS, Cote INIST : 14648 A

Digital Object Identifier

Go to electronic document thanks to its DOI : doi:10.1177/0309133312457405

Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI), 2013
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